The Information-Theoretic and Algorithmic Approach to Human, Animal, and Artificial Cognition

摘要: We survey concepts at the frontier of research connecting artificial, animal, and human cognition to computation information processing—from Turing test Searle’s Chinese room argument, from integrated theory computational algorithmic complexity. start by arguing that passing is a trivial problem its pragmatic difficulty sheds light on nature mind more than it does challenge artificial intelligence. then review our proposed information-theoretic measures for quantifying characterizing in various forms. These are capable accounting known biases behavior, thus vindicating view as first suggested Turing, but this time rooted concept probability, which turn based universality while being independent model, has virtue predictive testable model cognitive behavior.